Multiple Linear Regression - Estimated Regression Equation |
Slowavesleep[t] = + 11.69910998168 -1.81485718959218Bodyweightkg[t] -0.806217858424301Overalldanger[t] + e[t] |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | 11.69910998168 | 0.941095 | 12.4314 | 0 | 0 |
Bodyweightkg | -1.81485718959218 | 0.37295 | -4.8662 | 2.3e-05 | 1.1e-05 |
Overalldanger | -0.806217858424301 | 0.336956 | -2.3927 | 0.022068 | 0.011034 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.757704293033363 |
R-squared | 0.574115795681188 |
Adjusted R-squared | 0.55045556210792 |
F-TEST (value) | 24.265009637515 |
F-TEST (DF numerator) | 2 |
F-TEST (DF denominator) | 36 |
p-value | 2.12445526059923e-07 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 2.66067366510955 |
Sum Squared Residuals | 254.85063667947 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 6.3 | 9.28045640640707 | -2.98045640640707 |
2 | 2.1 | 2.2927805145161 | -0.192780514516097 |
3 | 9.1 | 6.61718592873257 | 2.48281407126743 |
4 | 15.8 | 13.8661182112489 | 1.93388178875114 |
5 | 5.2 | 4.47407551925884 | 0.725924480741158 |
6 | 10.9 | 9.95187052188023 | 0.948129478119773 |
7 | 8.3 | 7.77616527728143 | 0.523834722718572 |
8 | 11 | 9.14865762820712 | 1.85134237179288 |
9 | 3.2 | 2.82697987918079 | 0.373020120819207 |
10 | 6.3 | 12.9344975701155 | -6.6344975701155 |
11 | 6.6 | 10.2774702011732 | -3.6774702011732 |
12 | 9.5 | 11.3552049946406 | -1.85520499464062 |
13 | 3.3 | 5.05126885074498 | -1.75126885074498 |
14 | 11 | 11.7578310621516 | -0.757831062151645 |
15 | 4.7 | 7.39127036451272 | -2.69127036451272 |
16 | 10.4 | 11.0874734129402 | -0.687473412940215 |
17 | 7.4 | 8.44333153004401 | -1.04333153004401 |
18 | 2.1 | 2.73734408258684 | -0.637344082586836 |
19 | 17.9 | 14.52260650244 | 3.37739349755996 |
20 | 6.1 | 7.63996024520254 | -1.53996024520254 |
21 | 11.9 | 12.2536824944003 | -0.353682494400257 |
22 | 13.8 | 10.4746582839142 | 3.32534171608585 |
23 | 14.3 | 9.90548277211425 | 4.39451722788575 |
24 | 15.2 | 10.6651781425858 | 4.53482185741422 |
25 | 10 | 6.65938135839058 | 3.34061864160942 |
26 | 11.9 | 9.70642538646802 | 2.19357461353198 |
27 | 6.5 | 4.33037512698693 | 2.16962487301307 |
28 | 7.5 | 6.94581641953215 | 0.554183580467847 |
29 | 10.6 | 10.2837820551012 | 0.316217944898787 |
30 | 7.4 | 9.7552488939598 | -2.35524889395981 |
31 | 8.4 | 8.57578750592398 | -0.17578750592398 |
32 | 5.7 | 10.313422522099 | -4.61342252209902 |
33 | 4.9 | 8.27085135183694 | -3.37085135183694 |
34 | 3.2 | 4.50238344232472 | -1.30238344232472 |
35 | 11 | 10.1697221298271 | 0.830277870172892 |
36 | 4.9 | 8.73412994662413 | -3.83412994662413 |
37 | 13.2 | 11.8706244364848 | 1.3293755635152 |
38 | 9.7 | 7.34501625604661 | 2.35498374395338 |
39 | 12.8 | 9.90548277211425 | 2.89451722788575 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
6 | 0.487416969537936 | 0.974833939075872 | 0.512583030462064 |
7 | 0.31452162607647 | 0.62904325215294 | 0.68547837392353 |
8 | 0.211851180968311 | 0.423702361936622 | 0.788148819031689 |
9 | 0.118643181664675 | 0.237286363329351 | 0.881356818335325 |
10 | 0.686698128984577 | 0.626603742030847 | 0.313301871015423 |
11 | 0.715221188049779 | 0.569557623900442 | 0.284778811950221 |
12 | 0.641025546886481 | 0.717948906227038 | 0.358974453113519 |
13 | 0.585206819205923 | 0.829586361588154 | 0.414793180794077 |
14 | 0.493109611749011 | 0.986219223498022 | 0.506890388250989 |
15 | 0.465954108036251 | 0.931908216072502 | 0.534045891963749 |
16 | 0.372758837365506 | 0.745517674731012 | 0.627241162634494 |
17 | 0.291491973840142 | 0.582983947680284 | 0.708508026159858 |
18 | 0.216744272500321 | 0.433488545000641 | 0.78325572749968 |
19 | 0.307737966771464 | 0.615475933542929 | 0.692262033228536 |
20 | 0.263694618979691 | 0.527389237959382 | 0.73630538102031 |
21 | 0.188260018490979 | 0.376520036981959 | 0.811739981509021 |
22 | 0.2275898756169 | 0.4551797512338 | 0.7724101243831 |
23 | 0.339693023874295 | 0.679386047748591 | 0.660306976125705 |
24 | 0.503527141926891 | 0.992945716146218 | 0.496472858073109 |
25 | 0.539432155061733 | 0.921135689876533 | 0.460567844938267 |
26 | 0.512944116852004 | 0.97411176629599 | 0.487055883147996 |
27 | 0.490764569187356 | 0.981529138374713 | 0.509235430812644 |
28 | 0.390812285488755 | 0.78162457097751 | 0.609187714511245 |
29 | 0.288807116117745 | 0.57761423223549 | 0.711192883882255 |
30 | 0.247480958572481 | 0.494961917144962 | 0.752519041427519 |
31 | 0.155512474066877 | 0.311024948133753 | 0.844487525933123 |
32 | 0.293988156453594 | 0.587976312907188 | 0.706011843546406 |
33 | 0.333817946591797 | 0.667635893183594 | 0.666182053408203 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 0 | 0 | OK |
5% type I error level | 0 | 0 | OK |
10% type I error level | 0 | 0 | OK |